Evaluation model of teaching effectiveness of sports characteristic course based on intelligent fuzzy system

2021 ◽  
pp. 1-11
Author(s):  
Hanying Chen
Keyword(s):  
Physical Education ◽  
Fuzzy System ◽  
Teaching Effectiveness ◽  
Evaluation Model ◽  
Single Layer ◽  
Fuzzy Evaluation ◽  
Effect Evaluation ◽  
Expert Interview ◽  
Index Matrix ◽  
Education Courses

In order to improve the accuracy of the teaching effect evaluation, a teaching effect evaluation model based on the intelligent fuzzy system is designed. The evaluation index are selected based on the teaching situation of physical education courses, relevant national policy documents, subject textbooks, intelligent fuzzy system to modify the index system through expert interview, determine the weight coefficient of each index by hierarchical analysis method (AHP), and calculate the single layer and total ranking of the index matrix to realize the evaluation of physical education courses. The test results show that the fuzzy evaluation accuracy of the proposed model is above 95.63%, with high evaluation performance and strong utility.

scholarly journals Effect of Curriculum Planning for Physical Education in Colleges on Innovation Ability

2020 ◽  
Vol 15 (12) ◽  
pp. 103
Author(s):  
Huiqiu Guo
Keyword(s):  
Physical Education ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Curriculum Planning ◽  
Practical Significance ◽  
Fuzzy Evaluation ◽  
Promoting Effect ◽  
Innovation Ability ◽  
Fuzzy Evaluation Model ◽  
Current Curriculum

With poor integrity and unclear goals, the curriculum planning for physical education (PE) in colleges cannot effectively promote the innovation ability of students. To solve the problem, this paper attempts to clearly evaluate the effect of curriculum planning for college PE on the innovation ability of PE majors. Based on the defects of the current curriculum planning, the authors put forward several strategies and suggestions to enhance the promoting effect of college PE curriculum planning on innovation ability. Following the fuzzy theory, an index system and a fuzzy evaluation model were put forward to quantify the effect of college PE curriculum planning on innovation ability. The research results have great theoretical and practical significance.

Research on the Diversified Evaluation Index System and Evaluation Model of Physical Education Teaching in Colleges and Universities

2017 ◽  
Vol 14 (1) ◽  
pp. 99-103 ◽  
Author(s):  
Yongfeng Zhao
Keyword(s):  
Physical Education ◽  
Index System ◽  
Teaching And Learning ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Colleges And Universities ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Fuzzy Evaluation ◽  
Evaluation Indexes

Physical education teaching in colleges and universities is a complicated project for systematic optimization with multiple factors. As a vital approach to enhance the quality of physical education teaching in colleges and universities, it is of great importance to have a scientific, accurate and objective evaluation of physical education teaching. The thesis, on the one hand, analyzes the existent problems during the evaluation course of physical education teaching in colleges and universities; and on the other hand, discusses the related improved measures on the aforementioned basis. In order to update the evaluation index system of physical education teaching in colleges and universities, the thesis, based on the multiple intelligence theory, constructs an evaluation index system of physical education from all-round aspects, i.e., teaching step, teaching and learning step as well as managing step. Furthermore, according to the weight of various evaluation indexes on the foundation of AHP method, plus with the involvement of fuzzy evaluation information, the thesis puts forward with a comprehensive fuzzy evaluation model of physical education teaching in colleges and universities. This model serves as an attempt to effectively evaluate physical education teaching, the validity of which is proved in the case analysis part.

scholarly journals A Multi-Attribute Fuzzy Evaluation Model for the Teaching Quality of Physical Education in Colleges and Its Implementation Strategies

2021 ◽  
Vol 16 (02) ◽  
pp. 159
Author(s):  
Yao Wang ◽  
Chunyan Sun ◽  
Ying Guo
Keyword(s):  
Physical Education ◽  
Evaluation System ◽  
Evaluation Model ◽  
Implementation Strategies ◽  
Teaching Quality ◽  
Fuzzy Evaluation ◽  
Proposed Model ◽  
Grey Relational ◽  
Fuzzy Evaluation Model

There are two major problems with teaching quality evaluation of physical education (PE) in colleges: the excessive number of evaluation factors, and the incomplete evaluation system. To solve the problems, this paper puts forward a multi-attribute fuzzy evaluation model of college PE teaching quality, and provides the strategies to implement the model. Firstly, the problems of college PE teaching were analyzed, and a novel multi-dimensional evaluation system was developed for college PE teaching quality. To quantify college PE teaching quality, an evaluation model of college PE teaching quality was established based on the Grey Relational Analysis (GRA). In addition, several strategies were presented to improve college PE teaching quality. The proposed model and strategies provide a good reference for solving similar complex system problems.

scholarly journals Fuzzy Evaluation of Physical Education Teaching Quality in Colleges Based on Analytic Hierarchy Process

2021 ◽  
Vol 16 (06) ◽  
pp. 217
Author(s):  
Xiaokun Zhao ◽  
Chao Zheng
Keyword(s):  
Physical Education ◽  
Analytic Hierarchy Process ◽  
Evaluation Model ◽  
Teaching Quality ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Fuzzy Evaluation Model

For physical education (PE) in colleges, the evaluation of the teaching quality is affected by various fuzzy and uncertain factors. Therefore, this paper probes deep into the fuzzy evaluation of the teaching quality of college PE, using analytic hierarchy process (AHP), fuzzy system theory and grey theory. Firstly, the factors affecting the teaching quality of college PE were analyzed theoretically, and the keys to improving that teaching quality were clarified. On this basis, the authors established an evaluation index system and a fuzzy evaluation model for the teaching quality of college PE. The proposed fuzzy evaluation model serves an innovative tool to evaluate the teaching quality of college PE. Apart from effective measurement of the teaching quality, the proposed model provides an important reference for improving the teaching quality of college PE.

A fuzzy evaluation method of road vehicle automatic weighing instrument in dynamic force metrological performance

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dynamic Performance ◽  
Dynamic Force ◽  
Fuzzy Evaluation ◽  
Road Vehicle ◽  
Evaluation Standard ◽  
The Road ◽  
Metrological Performance

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.

scholarly journals Fuzzy Evaluation Model of Process Improvement Capability with Costs Consideration

2021 ◽  
Vol 11 (10) ◽  
pp. 4344
Author(s):  
Kuen-Suan Chen ◽  
Shui-Chuan Chen ◽  
Ting-Hsin Hsu ◽  
Min-Yi Lin ◽  
Chih-Feng Wu
Keyword(s):  
Process Improvement ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Fuzzy Evaluation ◽  
Sampling Errors ◽  
Capability Index ◽  
Testing Method ◽  
Improvement Potential ◽  
Testing Accuracy

The Taguchi capability index, which reflects the expected loss and the yield of a process, is a useful index for evaluating the quality of a process. Several scholars have proposed a process improvement capability index based on the expected value of the Taguchi loss function as well as the corresponding cost of process improvement. There have been a number of studies using the Taguchi capability index to develop suppliers’ process quality evaluation models, whereas models for evaluating suppliers’ process improvement potential have been relatively lacking. Thus, this study applies the process improvement capability index to develop an evaluation model of the supplier’s process improvement capability, which can be provided to the industry for application. Besides, owing to the current need to respond quickly, coupled with cost considerations and the limits of technical capabilities, the sample size for sampling testing is usually not large. Consequently, the evaluation model of the process improvement capability developed in this study adopts a fuzzy testing method based on the confidence interval. This method reduces the risk of misjudgment due to sampling errors and improves the testing accuracy because it can incorporate experts and their accumulated experiences.

scholarly journals Developing a Novel Fuzzy Evaluation Model by One-Sided Specification Capability Indices

Mathematics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1076
Author(s):  
Wei Lo ◽  
Chun-Ming Yang ◽  
Kuei-Kuei Lai ◽  
Shao-Yu Li ◽  
Chi-Han Chen
Keyword(s):  
Evaluation Model ◽  
Critical Value ◽  
Process Quality ◽  
Quality Characteristic ◽  
Fuzzy Membership Function ◽  
Environmental Damage ◽  
Quality Level ◽  
Fuzzy Evaluation ◽  
Radar Chart ◽  
Fuzzy Evaluation Model

When all of the one-sided specification indices of each quality characteristic reach the requirements of the process quality level, they can ensure that the process capability of the product meets the requirements of the process quality level. This study constructs a fuzzy membership function based on the upper confidence limit of the index, derives the fuzzy critical value, and then labels the fuzzy critical value on the axis of the visualized radar chart as well as connects adjacent critical points to shape a regular polygonal critical region. Next, this study calculates the observed value of the index to estimate and mark it on the axis for forming a visualized fuzzy radar evaluation chart. Obviously, this fuzzy evaluation model not only reduces the testing cost but also makes the quality level quickly meet the requirements of the specifications. Further, the radar chart can reduce the risk of misjudgment attributable to sampling errors and help improve the accuracy of evaluation by a confidence-upper-limit-based fuzzy evaluation model. Therefore, this easy-to-use visualized fuzzy radar evaluation chart is used as an evaluation interface, which has good and convenient management performance to identify and improve critical-to-quality quickly. Improving the quality of the process before the product is completed will also have the advantage of reducing social losses and environmental damage costs.

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